Operations | Monitoring | ITSM | DevOps | Cloud

The AI Velocity Paradox is real. While teams are writing code faster than ever, they're hitting a wall downstream. Deployments are failing. Security vulnerabilities are slipping through. Manual toil is eating up whatever time developers saved with AI-assisted coding. The speed boost from one part of the software delivery lifecycle is being strangled by legacy processes in another. Harness is solving this the only way that works: by bringing intelligent AI deeper into the delivery process itself.

This year at IBM TechXchange 2025, we had the privilege of not only attending but also sponsoring the event and hosting a booth in the expansive expo hall. From the moment we arrived, it was clear: IBM’s ecosystem is thriving once again. Between the buzz of innovation, the depth of technical sessions, and the sheer energy of the crowd, TechXchange 2025 stood out as one of the most impactful IBM events in recent memory.

Businesses today have more access to information about their products and engineering teams than ever before, and the push to be data-driven is also at an all-time high. Engineering metrics can provide actionable insights that help accelerate technology and business impact.

When you run services on Quarkus, you need a steady stream of signals to understand how the application behaves—CPU trends, request timings, memory patterns, and how each endpoint responds under load. Metrics give you that visibility. They help answer questions like: OpenTelemetry fits well here because it gives Quarkus a common way to generate and export metrics without locking you into a specific monitoring tool.

The tech world loves buzzwords. We’ve lived through the Cloud Era, the Mobile Era, the AI Era (we’re still in that one, apparently). But 2025 marks something different. Something developers have been craving for years but couldn’t quite name. Welcome to The Builders Era. Not because of some shiny new framework or yet another platform promising to 10x your productivity. The Builders Era is happening because developers are done being spectators in their own craft.

It’s now easier than ever to start testing Kubernetes with Dynatrace and Gremlin. With a new strategic integration, Kubernetes services set up in Dynatrace are automatically discovered in Gremlin to make testing set up simple and fast. At a time when AI is driving massive expansions in infrastructure and dramatically increasing deployment speed, being able to set up and test new services quickly is more important than ever. ‍

The AI said I had to do a database first, not code. Who am I to argue? So, with all the prompts outlining the goals of the project, I’ve gone forward with the project, and step one is creating a PostgreSQL database on Azure. This is part three of a multi-part set of articles. I’ll move this list to the bottom of future articles: Part 1: Introducing the Concept of dbRosetta Part 2: Defining the Project & Prompt Templates.